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Article

Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data

2022-04-20

Abstract excerpt

<h4>Background</h4> Expression quantitative trait loci (eQTL) studies have shown how genetic variants affect downstream gene expression. To identify the upstream regulatory processes, single-cell data can be used. Single-cell data also offers the unique opportunity to reconstruct personalized co-expression networks—by exploiting the large number of cells per individual, we can identify SNPs that alter co-expressi...

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Literature Corpus work
83ae7644-6007-5d6c-825d-12692c5e7956
DOI
10.1101/2022.04.20.488925
Open publication

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Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell dataDOI 10.1101/2022.04.20.488925
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